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Swetha Tanamala
Swetha Tanamala
AI scientist at Qure.ai
Geverifieerd e-mailadres voor qure.ai - Homepage
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Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study
S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ...
The Lancet 392 (10162), 2388-2396, 2018
7782018
Development and validation of deep learning algorithms for detection of critical findings in head CT scans
S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ...
arXiv preprint arXiv:1803.05854, 2018
1022018
Development and validation of deep learning algorithms for detection of critical findings in head CT scans. arXiv 2018
S Chilamkurthy, R Ghosh, S Tanamala, M Biviji, NG Campeau, ...
arXiv preprint arXiv:1803.05854, 0
19
Role of an automated deep learning algorithm for reliable screening of abnormality in chest radiographs: a prospective multicenter quality improvement study
A Govindarajan, A Govindarajan, S Tanamala, S Chattoraj, B Reddy, ...
Diagnostics 12 (11), 2724, 2022
82022
Application of deep learning for medical imaging evaluation
S Chilamkurhy, R Ghosh, S Tanamala, P Rao, P Warier
US Patent 10,475,182, 2019
72019
A semi-automatic method for transcription error correction for Indian language TTS systems
S Tanamala, JJ Prakash, HA Murthy
2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017
62017
Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms
GA Maragkos, AS Filippidis, S Chilamkurthy, MM Salem, S Tanamala, ...
World Neurosurgery 148, e363-e373, 2021
4*2021
Deep-aspects: A segmentation-assisted model for stroke severity measurement
U Upadhyay, M Ranjan, S Golla, S Tanamala, P Sreenivas, ...
European Conference on Computer Vision, 330-339, 2022
32022
Application of deep learning for medical imaging evaluation
S Chilamkurhy, R Ghosh, S Tanamala, P Rao, P Warier
US Patent 10,504,227, 2019
22019
Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
A Govindarajan, A Agarwal, S Chattoraj, D Robert, S Golla, U Upadhyay, ...
arXiv preprint arXiv:2307.04425, 2023
12023
Mind the Clot: Automated LVO Detection on CTA Using Deep Learning
S Kumar, A Agarwal, S Golla, S Tanamala, U Upadhyay, S Chattoraj, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Monitoring brain CT scan image
U Upadhyay, SK Golla, S Tanamala, S Chilamkurthy, P Putha
US Patent 11,501,437, 2022
12022
Ai improves stroke diagnosis and care at a low resource hospital in india
U Upadhyay, J Webster, S Tanamala, S Chilamkurthy, S Golla, ...
Journal of the Neurological Sciences 429, 2021
12021
Deep learning and medical diagnosis–Authors' reply
S Chilamkurthy, S Tanamala
The Lancet 394 (10210), 1711, 2019
12019
System and method for automatically detecting large vessel occlusion on a computational tomography angiogram
S Kumar, A Agarwal, SK Golla, S Tanamala, P Putha, S Chilamkurthy, ...
US Patent 11,967,079, 2024
2024
Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis
M Koneru, U Paul, U Upadhyay, S Tanamala, S Golla, HA Shaikh, ...
World Neurosurgery, 2024
2024
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study
H Fu, A Novak, D Robert, S Kumar, S Tanamala, J Oke, K Bhatia, R Shah, ...
BMJ open 14 (2), e079824, 2024
2024
Monitoring brain CT scan image
P Putha, S Chilamkurthy, SK Golla, S Tanamala, U Upadhyay
US Patent 11,636,596, 2023
2023
DEEP LEARNING BASED LVO DETECTION ON CT ANGIOGRAPHY OF BRAIN
S Kumar, A Agarwal, S Tanamala, S Golla, P Putha, U Upadhyay, ...
INTERNATIONAL JOURNAL OF STROKE 17 (3_ SUPPL), 19-20, 2022
2022
Machine Learning Approach to Arterial Input Function Estimation in Cerebral Perfusion Imaging
R Kushawaha, S Chilamkurthy, S Golla, U Upadhyay, S Tanamala, ...
INTERNATIONAL JOURNAL OF STROKE 17 (2_ SUPPL), 36-36, 2022
2022
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Artikelen 1–20